@regle/mcp-server
MCP ServerFreeMCP Server for Regle
Capabilities5 decomposed
mcp server protocol implementation for form validation
Medium confidenceExposes Regle form validation logic as an MCP (Model Context Protocol) server, allowing LLM clients to invoke validation rules and schema definitions through standardized MCP resource and tool endpoints. The server translates Regle's Vue-based validation framework into language-agnostic MCP protocol messages, enabling AI models to understand and apply form validation constraints without direct Vue dependency.
Bridges Vue-based form validation (Regle) with MCP protocol, allowing LLMs to natively understand and apply form constraints without reimplementing validation logic. Uses MCP's resource and tool abstractions to expose Regle's declarative validation rules as composable AI capabilities.
Enables AI agents to validate forms using existing Regle schemas via MCP, avoiding duplication of validation logic compared to manually describing rules to LLMs or building custom validation endpoints.
schema-driven validation rule exposure via mcp tools
Medium confidenceRegisters Regle validation rules as callable MCP tools, allowing LLM clients to invoke specific validators (required, email, minLength, custom rules) with typed parameters. The server introspects Regle schema definitions and generates MCP tool schemas that describe each validator's signature, constraints, and error messages, enabling AI models to understand which validators apply to which form fields.
Automatically generates MCP tool schemas from Regle validator definitions, allowing LLMs to discover and invoke validators with proper type hints and constraints without manual tool registration. Uses introspection to keep tool definitions in sync with Regle schema changes.
More maintainable than manually defining validation tools for each field type — schema changes automatically propagate to LLM tool definitions, whereas custom REST endpoints require manual updates.
form schema resource publication via mcp
Medium confidencePublishes Regle form schemas as MCP resources, allowing LLM clients to read and understand the complete form structure, field definitions, validation rules, and metadata through the MCP resource protocol. The server exposes schemas as queryable resources that clients can fetch to build context about form requirements before processing user input.
Exposes Regle schemas as MCP resources rather than embedding them in tool descriptions, allowing LLMs to fetch schema details on-demand and maintain a persistent understanding of form structure across multiple validation calls. Separates schema knowledge from validator tools.
More efficient than passing full schema context with every tool call — LLMs can fetch schema once and reuse it, reducing token overhead compared to embedding schema in each validator tool definition.
regle validation rule execution within mcp context
Medium confidenceExecutes Regle's validation logic (required, email, minLength, pattern, custom rules) within the MCP server process when invoked by LLM clients, returning structured validation results with error messages and field-level details. The server maintains Regle's validation semantics (async support, custom validators, error formatting) while translating results into MCP-compatible response formats.
Runs Regle validators server-side via MCP, preserving Regle's validation semantics (async support, custom rules, error formatting) while making them accessible to LLM clients without Vue dependency. Decouples validation logic from UI framework.
More reliable than asking LLMs to validate forms based on rule descriptions — uses actual Regle validators, ensuring validation behavior matches production Vue forms exactly.
mcp server lifecycle management and configuration
Medium confidenceProvides server initialization, configuration, and lifecycle hooks for the MCP server instance, including startup, shutdown, and resource/tool registration. The server handles MCP protocol handshake, capability negotiation, and client connection management, allowing developers to configure which Regle schemas and validators are exposed to connected LLM clients.
Provides standard MCP server lifecycle management (init, register tools/resources, handle client connections) tailored for Regle schema exposure. Abstracts MCP protocol details from developers configuring form validation services.
Simpler than building a custom MCP server from scratch — handles protocol boilerplate and resource registration automatically, allowing developers to focus on schema configuration.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓Teams building LLM agents that need to validate form submissions
- ✓Developers integrating Regle validation into AI-powered form builders
- ✓AI applications requiring schema-aware input validation
- ✓AI-powered form builders that need intelligent field validation suggestions
- ✓LLM agents handling multi-step form workflows with validation
- ✓Teams building conversational form interfaces with AI
- ✓AI agents that need full form context before processing submissions
- ✓LLM-powered form assistants that provide intelligent field suggestions
Known Limitations
- ⚠MCP protocol overhead adds latency to validation requests compared to direct function calls
- ⚠Requires MCP-compatible client (Claude, custom LLM agents) — not usable from standard REST clients
- ⚠Limited to validation rules exposed via MCP schema — custom Vue validators may not translate automatically
- ⚠No built-in caching of validation schemas across multiple requests
- ⚠Async validators (API calls, database lookups) may timeout in MCP context if not properly configured
- ⚠Complex nested validation rules may not translate cleanly to MCP tool schemas
Requirements
Input / Output
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MCP Server for Regle
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